Research partners on the climb to safe, aligned intelligence
Researchers from major open-source model labs, alongside physicians, scientists, and domain experts
Today’s benchmarks are flawed, hard to trust, and easily reward hacked. We partner side-by-side with frontier labs and enterprises to find real-world failure modes, identify the most efficient, safest way to train, and close the gap. We are a research team, partnering from the first evaluation to the next model release.
§1 How we partner
Not a data vendor. A research partner on every stage of the climb.
01 · Find the frontier
We test frontier models against realistic workflows, not toy benchmarks, to find where they genuinely fail.
02 · Build the climb
Environments, evaluations, and expert data designed around those failure modes: verifiable, and built by people who do the work.
03 · Direct the training
Domain judgment on which capabilities carry models into real use, so compute goes where it matters. Every improvement is measured, and holds up beyond the benchmark.
04 · Source with purpose
Real-world data access through partnerships, pursued once we know the capability it unlocks.
The methods change every year: real-world data partnerships, synthetic data pipelines built to research grade, and training techniques that evolve alongside our frontier partners. The goal doesn’t. For enterprises, that means evaluating and improving models on your own workflows, before deployment.
For frontier labs & enterprises · Medicine · Life sciences · Software · Robotics · And beyond
Fig. 1. culmen (Latin): the summit; the highest point.